Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models

Generating peptides with desired properties is crucial for drug discovery and biotechnology. Traditional sequence-based and structure-based methods often require extensive datasets, which limits their effectiveness. In this study, we proposed a novel method that utilized autoencoder shaped models to...

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Bibliographic Details

Main Authors:	Liang, Po-Yu, Huang, Xueting, Duran, Tibo, Wiemer, Andrew J, Bai, Jun
Format:	Journal Article
Language:	English
Published:	15-08-2024
Subjects:	Computer Science - Artificial Intelligence Computer Science - Learning Quantitative Biology - Quantitative Methods
Online Access:	Get full text
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